Data-Driven NLP Task
(Redirected from corpus-based task)
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A Data-Driven NLP Task is an NLP task that is a data-driven task (that is provided a corpus).
- AKA: Corpus-based Task.
- Context:
- It can be solved by a Corpus-based System (that implements a Corpus-based algorithm).
- It can be solved by a Data-Driven NLP System (that implements a data-driven NLP algorithm).
- It can range from being an Unsupervised NLP Task to being a Supervised NLP Task to being a Model Transfer-based NLP Task.
- It can range from being a Data-Driven Natural Language Understanding Task to being a Data-Driven Natural Language Generation Task.
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- Example(s):
- a Data-Driven End-of-Sentence Detection Task.
- a Data-Driven Missing Word Prediction Task.
- a Data-Driven Named Entity Recognition Task.
- a Data-Driven Information Extraction Task.
- a Data-Driven Document Summarization Task.
- a Data-Driven Question Answering Task.
- a Transfer Learning-based NLP Task, such as few-shot NLP.
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- Counter-Example(s):
- See: Text Mining Task, Corpus-based Vectorization.